Formica Fraud is an AI-powered fraud protection solution helping companies to monitor, detect and prevent fraudulent activities in real-time.

Data-driven Fraud Detection

All-in-one platform helping you protect your customers and employees from fraudulent activities.

Encourage your team to make data-driven decisions while analysing millions of risky fraud cases. Connect different data sources and process them all together in real-time, thus protect your customers, decrease chargeback and increase customer satisfaction. Benefit from AI-based fraud prevention in real-time with a transparent white-box approach from rules to machine learning models.

Prevent Fraud in Real-time

Either you are a merchant, business owner, employee or customer -everyone is protected against fraudulent activities and fraudsters from the first day. Suspicious and risky transactions are immediately shown to fraud analysers with alarm management or automated actions are taken by AI and easily written rules.

MORE THAN JUST A FRAUD SOLUTION

See business reports, KPIs, and customizable dashboards from your mobile phone while you are travelling or at a meeting.

Business-Ready Workflows and Rules

Use a set of rules and workflows with a drag & drop feature which is perfect for your team's efficiency and making it easier to use complex rules.

To create your automation, filters, and rule flows, you can use some of our industry-specific rule packages and ready-to-use workflows.

Alarm Management

Using machine learning models and artificial intelligence algorithms to identify fraud cases and reducing false-positive issues.

The more you use the service, the fewer fraud cases you have to investigate manually. And you can use a comprehensive alarm management screen to analyze and investigate risky transactions and potential fraud incidents. You can group each alarm page depends on the customer journey or stage like onboarding and assign any incident to anyone on your team.

Machine Learning

Formica Fraud streamlines operations and makes fraud detection faster and more reliable with business-ready workflows and flexible rule defining. Moreover, its machine learning infrastructure lets you deal with fewer and fewer fraud incidents every day by self-learning from your actions and customer behaviours over periods and usage. Your teams will spend less time investigating false alarms with fewer and more accurate cases. This way they can deal with true fraudulent attempts rather than numbers of false positives.

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Autor: TRLogic Bilgi Teknolojileri Ltd. Şti.